This　paper　presents　a　rapid　and　effective　calibration　method　of　mesoscopic　parameters　of　a　three-dimensional　particle　flow　code(PFC3D)model　for　sandy　cobble　soil.The　method　is　based　on　a　series　of　numerical　tests　and　takes　into　account　the　significant　influence　of　mesoscopic　parameters　on　macroscopic　parameters.First,numerical　simulations　are　conducted,with　five　implementation　steps.Then,the　multi-factor　analysis　of　variance　method　is　used　to　analyze　the　experimental　results,the　mesoscopic　parameters　with　significant　influence　on　the　macroscopic　response　are　singled　out,and　their　linear　relations　to　macroscopic　responses　are　estimated　by　multiple　linear　regression.Finally,the　parameter　calibration　problem　is　transformed　into　a　multi-objective　function　optimization　problem.Numerical　simulation　results　are　in　good　agreement　with　laboratory　results　both　qualitatively　and　quantitatively.The　results　of　this　study　can　provide　a　basis　for　the　calibration　of　microscopic　parameters　for　the　investigation　of　sandy　cobble　soil　mechanical　behavior.